{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T09:43:41Z","timestamp":1766137421412,"version":"3.28.0"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1109\/wacv45572.2020.9093519","type":"proceedings-article","created":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T03:41:09Z","timestamp":1589514069000},"page":"1678-1686","source":"Crossref","is-referenced-by-count":35,"title":["Mono Lay out: Amodal scene layout from a single image"],"prefix":"10.1109","author":[{"given":"Kaustubh","family":"Mani","sequence":"first","affiliation":[]},{"given":"Swapnil","family":"Daga","sequence":"additional","affiliation":[]},{"given":"Shubhika","family":"Garg","sequence":"additional","affiliation":[]},{"given":"N. Sai","family":"Shankar","sequence":"additional","affiliation":[]},{"given":"J.","family":"Krishna Murthy","sequence":"additional","affiliation":[]},{"given":"K. Madhava","family":"Krishna","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0932-3"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00798"},{"article-title":"Digging into self-supervised monocular depth estimation","year":"2018","author":"godard","key":"ref10"},{"key":"ref11","article-title":"Generative adversarial nets","volume":"27","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref12","first-page":"2961","article-title":"Mask r-cnn","author":"he","year":"2017","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8594049"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00111"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_39"},{"article-title":"Wise-ale: Wide sample estimator for aggregate latent embedding","year":"2019","author":"lin","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2891028"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967624"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.236"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00086"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00895"},{"article-title":"Multicolumn deep neural networks for image classification","year":"2012","author":"cire?an","key":"ref6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01057"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.691"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569311"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00939"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.597"},{"key":"ref22","first-page":"91","article-title":"Faster r- cnn: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"journal-title":"OpenStreetMap contributors","year":"2017","key":"ref21"},{"key":"ref24","article-title":"In-place activated batchnorm for memory-optimized training of dnns","author":"rota bul\u00f2","year":"2018","journal-title":"CVPR"},{"article-title":"Orthographic feature transform for monocular 3d object detection","year":"2018","author":"roddick","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_48"},{"key":"ref25","article-title":"Improved techniques for training gans","author":"salimans","year":"2016","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","start":{"date-parts":[[2020,3,1]]},"location":"Snowmass Village, CO, USA","end":{"date-parts":[[2020,3,5]]}},"container-title":["2020 IEEE Winter Conference on Applications of Computer Vision (WACV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9087828\/9093261\/09093519.pdf?arnumber=9093519","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:15:53Z","timestamp":1656602153000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9093519\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/wacv45572.2020.9093519","relation":{},"subject":[],"published":{"date-parts":[[2020,3]]}}}